Triple
T7675746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fences and Windows |
E173855
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Flamingo |
E232311
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Flamingo | Statement: [Fences and Windows, publisher, Flamingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flamingo Context triple: [Fences and Windows, publisher, Flamingo]
-
A.
Flamingo
chosen
Flamingo is a British publishing imprint known for releasing notable literary fiction and non-fiction titles.
-
B.
Flamingo
Flamingo is a large red steel abstract sculpture by Alexander Calder located in Chicago’s Federal Plaza.
-
C.
FLAMINGOS
FLAMINGOS is a near-infrared imaging spectrograph used in astronomical observations, known for enabling wide-field infrared studies of celestial objects.
-
D.
Flamengos
Flamengos is a civil parish on Faial Island in the Azores, Portugal, known for its rural landscape and proximity to the island’s main town, Horta.
-
E.
Jumbo-Flamingo
Jumbo-Flamingo is a large shopping and entertainment complex in Vantaa, Finland, combining an extensive mall with the Flamingo leisure center that includes a spa, water park, and various recreational facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e333f08190a9ee87080c6d0118 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a23ba62881908fcdcf2ffcf6d41d |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.